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Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar.

, , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Calibration of the Normalized Radar Cross Section for Sentinel-1 Wave Mode., , , and . IEEE Trans. Geosci. Remote. Sens., 57 (3): 1514-1522 (2019)Automated Geophysical Classification of Sentinel-L Wave Mode Sar Images Through Deep-Learning., , , , , , and . IGARSS, page 1776-1779. IEEE, (2018)Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar., , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Patterns and cycles in the Climate Forecast System Reanalysis wind and wave data, , , and . Ocean Modelling, (October 2013)Sea State Impacts on Wind Speed Retrievals From C-Band Radars., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (5): 2147-2155 (2017)Polarization Dependence of Azimuth Cutoff From Quad-Pol SAR Images., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (12): 9878-9887 (2019)Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar., , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (3): 1859-1867 (2021)Impact of Sea State on Wind Retrieval From Sentinel-1 Wave Mode Data., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (2): 559-566 (2019)Periodicity and patterns of ocean wind and wave climate, and . J. Geophys. Res. Oceans, 119 (8): 5563--5584 (Aug 1, 2014)Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis, and . Ocean Modelling, (March 2014)